---
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d10fef2c-144b-448e-8b26-47619c9c7b19
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# d10fef2c-144b-448e-8b26-47619c9c7b19

This model is a fine-tuned version of [unsloth/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co./unsloth/Qwen2.5-Coder-1.5B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1723

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0000 | 1    | 3.5194          |
| 3.0277        | 0.0024 | 50   | 2.5561          |
| 2.455         | 0.0048 | 100  | 2.3826          |
| 2.3135        | 0.0072 | 150  | 2.3254          |
| 2.2838        | 0.0096 | 200  | 2.2657          |
| 2.2157        | 0.0120 | 250  | 2.2419          |
| 2.2709        | 0.0143 | 300  | 2.2174          |
| 2.2565        | 0.0167 | 350  | 2.1977          |
| 2.2064        | 0.0191 | 400  | 2.1808          |
| 2.1379        | 0.0215 | 450  | 2.1733          |
| 2.1484        | 0.0239 | 500  | 2.1723          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1